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Puhdys
Anke SchenkerKlaus ScharfschwerdtAnett KölpinFrank SchirmerDatzuIngo PolitzRainer OleakPeter Lorenz (8)Falkenberg

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Connected Bands/Artists

  • Datzu
  • Falkenberg
  • Puhdys
    Puhdys band photo

Connected Musicians

  • Anett Kölpin
  • Anke Schenker
  • Dieter Birr
  • Dieter Hertrampf
  • Frank Schirmer
  • Ines Paulke
  • Ingo Politz
  • Klaus Scharfschwerdt
  • Peter Lorenz (8)
  • Rainer Oleak
  • Stefan Schirrmacher
  • Uli Werfel

Analyzing Network Connections...

Network Profile

Overall Strength
i
4.43% of network
(6.05B)
Strength Breakdown
  • This Post (4.43%)
  • Ingo Politz (17.73%)
  • Puhdys (7.88%)
  • Dieter Birr (4.43%)
  • Ines Paulke (4.43%)
  • Rainer Oleak (4.43%)
  • Klaus Scharfschwerdt (1.97%)
  • Stefan Schirrmacher (1.97%)
  • Dieter Hertrampf (0.49%)
  • Falkenberg (0.49%)
  • Anke Schenker (0.49%)
  • Frank Schirmer (0.49%)
  • Uli Werfel (0.49%)
  • Peter Lorenz (8) (0.49%)
  • Anett Kölpin (0.49%)
Dominant nodes (excluded from chart)
Datzu 49.26%
Influence Score
i
6.25% of network
(1)
Influence Breakdown
  • This Post (6.25%)
  • Puhdys (6.25%)
  • Dieter Birr (6.25%)
  • Dieter Hertrampf (6.25%)
  • Klaus Scharfschwerdt (6.25%)
  • Datzu (6.25%)
  • Falkenberg (6.25%)
  • Anke Schenker (6.25%)
  • Frank Schirmer (6.25%)
  • Ines Paulke (6.25%)
  • Ingo Politz (6.25%)
  • Rainer Oleak (6.25%)
  • Stefan Schirrmacher (6.25%)
  • Uli Werfel (6.25%)
  • Peter Lorenz (8) (6.25%)
  • Anett Kölpin (6.25%)
Direct Connections 6

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 16 [Puhdys] *
                            9 [Dieter Birr] *
                            1 [Dieter Hertrampf] *
                            4 [Klaus Scharfschwerdt] *
                            100 [Datzu] *
                            1 [Falkenberg] *
                            1 [Anke Schenker] *
                            1 [Frank Schirmer] *
                            9 [Ines Paulke] *
                            36 [Ingo Politz] *
                            9 [Rainer Oleak] *
                            4 [Stefan Schirrmacher] *
                            1 [Uli Werfel] *
                            1 [Peter Lorenz (8)] *
                            1 [Anett Kölpin]
                           )

                         = 6.05B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Puhdys] *
                            1 [Dieter Birr] *
                            1 [Dieter Hertrampf] *
                            1 [Klaus Scharfschwerdt] *
                            1 [Datzu] *
                            1 [Falkenberg] *
                            1 [Anke Schenker] *
                            1 [Frank Schirmer] *
                            1 [Ines Paulke] *
                            1 [Ingo Politz] *
                            1 [Rainer Oleak] *
                            1 [Stefan Schirrmacher] *
                            1 [Uli Werfel] *
                            1 [Peter Lorenz (8)] *
                            1 [Anett Kölpin]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 15 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
4.43% (6.05B overall)
  • This Post (4.43%)
  • Ingo Politz (17.73%)
  • Puhdys (7.88%)
  • Dieter Birr (4.43%)
  • Ines Paulke (4.43%)
  • Rainer Oleak (4.43%)
  • Klaus Scharfschwerdt (1.97%)
  • Stefan Schirrmacher (1.97%)
  • Dieter Hertrampf (0.49%)
  • Falkenberg (0.49%)
  • Anke Schenker (0.49%)
  • Frank Schirmer (0.49%)
  • Uli Werfel (0.49%)
  • Peter Lorenz (8) (0.49%)
  • Anett Kölpin (0.49%)
Dominant nodes (excluded from chart)
Datzu 49.26%
Influence Share (vs Direct Neighbours)
6.25% (1 overall)
  • This Post (6.25%)
  • Puhdys (6.25%)
  • Dieter Birr (6.25%)
  • Dieter Hertrampf (6.25%)
  • Klaus Scharfschwerdt (6.25%)
  • Datzu (6.25%)
  • Falkenberg (6.25%)
  • Anke Schenker (6.25%)
  • Frank Schirmer (6.25%)
  • Ines Paulke (6.25%)
  • Ingo Politz (6.25%)
  • Rainer Oleak (6.25%)
  • Stefan Schirrmacher (6.25%)
  • Uli Werfel (6.25%)
  • Peter Lorenz (8) (6.25%)
  • Anett Kölpin (6.25%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Puhdys ↗
Str: 16Inf: 1
Dieter Birr ↗
Str: 9Inf: 1
Dieter Hertrampf ↗
Str: 1Inf: 1
Klaus Scharfschwerdt ↗
Str: 4Inf: 1
Datzu ↗
Str: 100Inf: 1
Falkenberg ↗
Str: 1Inf: 1
Anke Schenker ↗
Str: 1Inf: 1
Frank Schirmer ↗
Str: 1Inf: 1
Ines Paulke ↗
Str: 9Inf: 1
Ingo Politz ↗
Str: 36Inf: 1
Rainer Oleak ↗
Str: 9Inf: 1
Stefan Schirrmacher ↗
Str: 4Inf: 1
Uli Werfel ↗
Str: 1Inf: 1
Peter Lorenz (8) ↗
Str: 1Inf: 1
Anett Kölpin ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Anett Kölpin ↗
Str: 1Inf: 1
Peter Lorenz (8) ↗
Str: 1Inf: 1
Uli Werfel ↗
Str: 1Inf: 1
Stefan Schirrmacher ↗
Str: 4Inf: 1
Rainer Oleak ↗
Str: 9Inf: 1
Ingo Politz ↗
Str: 36Inf: 1
Ines Paulke ↗
Str: 9Inf: 1
Frank Schirmer ↗
Str: 1Inf: 1
Anke Schenker ↗
Str: 1Inf: 1
Falkenberg ↗
Str: 1Inf: 1
Datzu ↗
Str: 100Inf: 1
Klaus Scharfschwerdt ↗
Str: 4Inf: 1
Dieter Hertrampf ↗
Str: 1Inf: 1
Dieter Birr ↗
Str: 9Inf: 1
Puhdys ↗
Str: 16Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (3)
Datzu
Falkenberg
Puhdys
Inbound Posts (3)
Puhdys
Datzu
Falkenberg
Last calculated: Jul 29, 5:12 PM
12

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